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Influence of the feedback links of connected and automated vehicle on rear-end collision risks with vehicle-to-vehicle communication

机译:连接和自动化车辆反馈链路对车辆到车辆通信后端碰撞风险的影响

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Objective: Connected and automated vehicles (CAV) can monitor multiple vehicles ahead via vehicle-to-vehicle (V2V) communication. Although feedback information from more vehicles ahead may be more helpful for anticipations, it also makes control more complex and increases the probability of data packet loss. Then it needs an appropriate number of CAV feedback links, and the maximum number may be not suitable. Therefore, this article focuses on the influence of CAV feedback links on rear-end collision risks.Methods: To deal with this, stability analysis of a CAV car-following model was conducted to obtain the designs of CAV feedback gains for maintaining stable CAV flow. Simulation experiments were performed to describe a traffic accident on freeway, using car-following models of manually driven vehicles (MDVs) and CAV under different CAV penetration rates. Four scenarios are considered in simulation experiments; that is, the CAV monitors 1, 2, 3, and 4 preceding vehicles, respectively. Based on the simulation experiments, surrogate safety indicators, time-exposed time-to-collision (TET), and time-integrated time-to-collision (TIT) are used to evaluate risks of rear-end collisions.Results: Results indicated that CAV helped to decrease the collision risks, especially the more serious collision risks with smaller threshold values of time-to-collision (TTC). In addition, the reductions in collision risks are more obvious when CAV feedback changes from one link to 2 links. In addition, reducing amplitudes are not significant if the CAV feedback is extended from 2 links to 3 or 4 links.Conclusions: Two links of CAV feedback are appropriate when control complexity is a priority, whereas 3 links is the better choice when reductions in collisions are a priority. The findings of this study provide helpful reference for CAV control and design before larger-scale implementation in real vehicles.
机译:目的:连接和自动化车辆(CAV)可以通过车辆到车辆(V2V)通信前面监控多个车辆。虽然来自前方的车辆的反馈信息可能会对预期更有用,但它也使得控制更复杂并增加数据包丢失的概率。然后需要一个适当数量的CAV反馈链路,最大数量可能不合适。因此,本文重点介绍了CAV反馈链路对后端碰撞风险的影响。方法:对此进行处理,对CAV车辆跟随模型进行稳定性分析,以获得维持稳定的腔流量的CAV反馈增益的设计。进行仿真实验以描述高速公路上的交通事故,使用不同脉冲速率下的手动驱动车辆(MDV)和CAV的车型。在仿真实验中考虑了四种情况;也就是说,CAV监视器1,2,3和4个前面的车辆。基于仿真实验,代理安全指标,时间暴露的时间 - 碰撞(TET)和时间累积的时间 - 碰撞(山雀)来评估后端碰撞的风险。结果:结果表明CAV有助于降低碰撞风险,尤其是更严重的碰撞风险,具有较小的阈值 - 碰撞(TTC)的阈值。此外,碰撞风险的减少更明显,当CAV反馈从一个链接变为2个链接时。此外,如果CAV反馈从2个链接延伸到3或4个环节,则还原幅度不显着是优先事项。本研究的结果为真实车辆大规模实施前的CAV控制和设计提供了有用的参考。

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